Security AI/ML Lead | Data Scientist

JPMorgan Chase; Wilmington (DE); On-site; USD 171,000 - 260,000; Full time

Job summary

JPMorganChase seeks a Cybersecurity AI/ML Lead - Data Scientist to design and deliver advanced analytics for cybersecurity across the enterprise. You will lead data analysis, model development, and governance for secure AI-driven security operations in a high-risk environment.

The role emphasizes collaboration with security engineers, data engineers, and business stakeholders, applying cutting‑edge techniques including transformers, and ensuring compliance with resiliency and auditability

Qualifications

• 5+ years of experience with formal training or certification in security engineering concepts.
• Strong foundation in probability, statistics, and distributions related to cybersecurity risk.

Responsibilities

• Collaborate with stakeholders to define security use cases and data requirements.
• Perform exploratory data analysis and communicate findings to technical/business audiences.
• Develop, evaluate, and deploy ML/DL models for cybersecurity use cases.
• Prepare model-ready datasets with feature engineering and data quality checks.
• Ensure AI capabilities are used safely with human-in-the-loop validation and data sensitivity controls.
• Establish guardrails for AI-enabled workflows with traceability and security alignment.
• Support model governance with documentation of selections, interpretability, and performance.
• Build secure, production-grade code for analytics and ML solutions.
• Contribute to security control effectiveness by applying industry standards.

Skills

Python

Pandas

SQL

Data Visualization

Modeling & ML

Jupyter/SageMaker/VS Code

Scikit-Learn

PyTorch

Data Preparation

Security & Risk

Communication

Education

Bachelor’s degree in Data Science/Math/CS

Tools

Jupyter

SageMaker

VS Code

Plotly/Matplotlib/Seaborn

Scikit-Learn

PyTorch

Job description

JPMorganChase seeks a Cybersecurity AI/ML Lead - Data Scientist to design and deliver advanced analytics for cybersecurity across the enterprise. You will lead data analysis, model development, and governance for secure AI-driven security operations in a high-risk environment.

The role emphasizes collaboration with security engineers, data engineers, and business stakeholders, applying cutting‑edge techniques including transformers, and ensuring compliance with resiliency and auditability